
Statistician · PhD candidate at HC-FMUSP
I build and deploy AI that works in healthcare.
Research, technology and purpose.
FROM STATISTICSTO MEDICAL AI
- ENCE · Statistics
- HC-FMUSP · Research
- Applied technology
JOÃO VICTOR DIAS
Let’s build togetherResearch. Products. People.
I connect data, software and healthcare research. Working with professionals who understand clinical practice, I turn technical possibilities into practical applications.
(01)ABOUT ME
Technology should serve the people who care for people.
JOÃO VICTOR DIAS STATISTICIAN & AI BUILDER(MY PHILOSOPHY)
“AI is a tool to extend human capabilities.”
I am a statistician trained at ENCE and a PhD candidate at HC-FMUSP, researching AI in ophthalmology. I build software, collaborate on research and teach people to use technology with purpose.
I co-founded ARB, where I am CTO, and work as a technical partner in healthcare startups. My work brings research, products and education together.
Explore my journey(02)MY THESES
The future I choose to build.
Four convictions that guide what I research, teach and build in healthcare.
AI should give time back to care.
I believe in tools that extend physicians’ capabilities and reduce the work that takes them away from patients. Technology needs to fit the daily reality of care.
02Reliable data comes before extraordinary models.
My thesis is that data quality, context and validation will be decisive in turning models into useful healthcare tools.
03Ophthalmology can open paths for medicine.
I see ophthalmology as a field to investigate, test and demonstrate applications of AI in healthcare. It is where I focus my research and build experience.
04Research needs to meet practice.
I want to bring scientific discovery, products and real-world use closer together. An idea gains value when people can test, understand and use it.
(03)WHAT I DO
Data, AI and healthcare. From idea to practice.
Three connected areas of work, with ophthalmology as a field of research and application.
01. Applied AIFrom a real problem to working software.
AI infrastructure, automation and integrations for healthcare teams and organizations.
- Computer vision and language models
- Workflow automation and integrations
- Technical architecture and deployment
02. ResearchClinical questions. Statistical rigor.
PhD research in Ophthalmological Medical Sciences at HC-FMUSP, connecting statistics, machine learning and medical images.
- Machine learning for blink analysis
- Retinal images and genetics
- Oculomics and research collaboration
03. EducationTechnology people can understand and use.
Talks, workshops and practical training for physicians and researchers who want to put AI to work.
- Practical AI for healthcare professionals
- Scientific research workflows
- Technical guidance for teams
FROM DIAGNOSIS TO DEPLOYMENT ↗⌜ SELECTED PROJECTS
Research that connects. Technology that works.

Education · Software · Research
ARB
My company for training, custom software and applied AI research.

Applied healthcare R&D
WingsAI
Deeptech connecting research, AI development and digital healthcare products.

Practical education · Digital tools
IA para Médicos
Applications, courses and tools for healthcare professionals and scientific research.

Technical leadership
Lyen & Spero Science
As CTO, I work on medical career platforms and applied AI software.
Also in my ecosystem: GeekVision and ConnectAI / Repport AI.
Explore the ecosystem✳ EXPERIENCE WITH PURPOSE
Statistics as a foundation. Healthcare as a direction.
- 2012
- Working in data and AI since
- ENCE
- Degree in Statistics
- FMUSP
- PhD research in progress
(04)IDEAS & RESOURCES
Sharing what I learn along the way.

(LET’S TALK)
What could we build together?
Projects in AI, research collaboration, talks and practical healthcare training. Tell me about the problem you want to solve.
contato@iaparamedicos.com.br ↗Get in touch